Literature DB >> 20825786

ED syndromic surveillance for novel H1N1 spring 2009.

Marc A Bellazzini1, Kyle D Minor.   

Abstract

PURPOSE: The aim of this study is to demonstrate the use of emergency department (ED) syndromic surveillance in the setting of a novel and unexpected H1N1 influenza outbreak. BASIC PROCEDURES: Data collection from ED electronic medical records was used to track initial chief complaint and discharge International Classification of Diseases, Ninth Revision, codes related to influenza-like illness (ILI). An alert threshold was generated using cumulative sum sequential analysis technique. The data were retrospectively analyzed to identify alerts that correlated with novel influenza H1N1 illness. MAIN
FINDINGS: Our system alerted for ILI earlier than both the official national Centers for Disease Control and Prevention (CDC) press release for novel H1N1 and the first laboratory confirmed case in our county. PRINCIPAL
CONCLUSIONS: Emergency department syndromic surveillance can be used to detect unexpected ILI before laboratory confirmation and serve as an adjunct to traditional laboratory-guided public health alerts. Early identification may allow for more efficient laboratory testing and early implementation of respiratory isolation precautions.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20825786      PMCID: PMC3042301          DOI: 10.1016/j.ajem.2009.09.009

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  14 in total

1.  Investigation of an electronic emergency department information system as a data source for respiratory syndrome surveillance.

Authors:  John M Townes; Melvin A Kohn; Karen L Southwick; Christopher A Bangs; Andrew D Zechnich; J A Magnuson; Jonathan Jui
Journal:  J Public Health Manag Pract       Date:  2004 Jul-Aug

2.  A simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines.

Authors:  L C Hutwagner; W W Thompson; G M Seeman; T Treadwell
Journal:  Stat Med       Date:  2005-02-28       Impact factor: 2.373

3.  Monitoring over-the-counter medication sales for early detection of disease outbreaks--New York City.

Authors:  Debjani Das; K Metzger; R Heffernan; S Balter; D Weiss; F Mostashari
Journal:  MMWR Suppl       Date:  2005-08-26

4.  Can syndromic surveillance data detect local outbreaks of communicable disease? A model using a historical cryptosporidiosis outbreak.

Authors:  D L Cooper; N Q Verlander; G E Smith; A Charlett; E Gerard; L Willocks; S O'Brien
Journal:  Epidemiol Infect       Date:  2006-02       Impact factor: 2.451

5.  The signature features of influenza pandemics--implications for policy.

Authors:  Mark A Miller; Cecile Viboud; Marta Balinska; Lone Simonsen
Journal:  N Engl J Med       Date:  2009-05-07       Impact factor: 91.245

6.  Diarrheal illness detected through syndromic surveillance after a massive power outage: New York City, August 2003.

Authors:  Melissa A Marx; Carla V Rodriguez; Jane Greenko; Debjani Das; Richard Heffernan; Adam M Karpati; Farzad Mostashari; Sharon Balter; Marcelle Layton; Don Weiss
Journal:  Am J Public Health       Date:  2005-12-27       Impact factor: 9.308

7.  The validity of chief complaint and discharge diagnosis in emergency department-based syndromic surveillance.

Authors:  Aaron T Fleischauer; Benjamin J Silk; Mare Schumacher; Ken Komatsu; Sarah Santana; Victorio Vaz; Mitchell Wolfe; Lori Hutwagner; Joanne Cono; Ruth Berkelman; Tracee Treadwell
Journal:  Acad Emerg Med       Date:  2004-12       Impact factor: 3.451

8.  Update: novel influenza A (H1N1) virus infections - worldwide, May 6, 2009.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2009-05-08       Impact factor: 17.586

9.  Emergence of a novel swine-origin influenza A (H1N1) virus in humans.

Authors:  Fatimah S Dawood; Seema Jain; Lyn Finelli; Michael W Shaw; Stephen Lindstrom; Rebecca J Garten; Larisa V Gubareva; Xiyan Xu; Carolyn B Bridges; Timothy M Uyeki
Journal:  N Engl J Med       Date:  2009-05-07       Impact factor: 91.245

10.  Evaluation of school absenteeism data for early outbreak detection, New York City.

Authors:  Melanie Besculides; Richard Heffernan; Farzad Mostashari; Don Weiss
Journal:  BMC Public Health       Date:  2005-10-07       Impact factor: 3.295

View more
  11 in total

1.  International society for disease surveillance conference 2011: building the future of public health surveillance.

Authors:  Daniel B Neill; Karl A Soetebier
Journal:  Emerg Health Threats J       Date:  2011-12-06

2.  Assessing the relative timeliness of Ontario's syndromic surveillance systems for early detection of the 2009 influenza H1N1 pandemic waves.

Authors:  Anna Chu; Rachel Savage; Michael Whelan; Laura C Rosella; Natasha S Crowcroft; Don Willison; Anne-Luise Winter; Richard Davies; Ian Gemmill; Pia K Mucchal; Ian Johnson
Journal:  Can J Public Health       Date:  2013-05-14

3.  Google Flu Trends: correlation with emergency department influenza rates and crowding metrics.

Authors:  Andrea Freyer Dugas; Yu-Hsiang Hsieh; Scott R Levin; Jesse M Pines; Darren P Mareiniss; Amir Mohareb; Charlotte A Gaydos; Trish M Perl; Richard E Rothman
Journal:  Clin Infect Dis       Date:  2012-01-08       Impact factor: 9.079

Review 4.  Influenza surveillance systems using traditional and alternative sources of data: A scoping review.

Authors:  Aspen Hammond; John J Kim; Holly Sadler; Katelijn Vandemaele
Journal:  Influenza Other Respir Viruses       Date:  2022-09-08       Impact factor: 5.606

5.  National and Regional Representativeness of Hospital Emergency Department Visit Data in the National Syndromic Surveillance Program, United States, 2014.

Authors:  Ralph J Coates; Alejandro Pérez; Atar Baer; Hong Zhou; Roseanne English; Michael Coletta; Achintya Dey
Journal:  Disaster Med Public Health Prep       Date:  2016-02-17       Impact factor: 1.385

6.  Infection control management of patients with suspected highly infectious diseases in emergency departments: data from a survey in 41 facilities in 14 European countries.

Authors:  Francesco M Fusco; Stefan Schilling; Giuseppina De Iaco; Hans-Reinhard Brodt; Philippe Brouqui; Helena C Maltezou; Barbara Bannister; René Gottschalk; Gail Thomson; Vincenzo Puro; Giuseppe Ippolito
Journal:  BMC Infect Dis       Date:  2012-01-28       Impact factor: 3.090

Review 7.  Syndromic surveillance for influenza in the emergency department-A systematic review.

Authors:  Katherine M Hiller; Lisa Stoneking; Alice Min; Suzanne Michelle Rhodes
Journal:  PLoS One       Date:  2013-09-13       Impact factor: 3.240

8.  Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data.

Authors:  Ying Zhang; Ali Arab; Benjamin J Cowling; Michael A Stoto
Journal:  BMC Public Health       Date:  2014-08-15       Impact factor: 3.295

9.  Perceived usefulness of syndromic surveillance in Ontario during the H1N1 pandemic.

Authors:  Rachel Savage; Anna Chu; Laura C Rosella; Natasha S Crowcroft; Monali Varia; Michelle E Policarpio; Norman G Vinson; Anne-Luise Winter; Karen Hay; Richard F Davies; Ian Gemmill; Don Willison; Ian Johnson
Journal:  J Public Health (Oxf)       Date:  2011-12-22       Impact factor: 2.341

10.  Aerosol Sampling in a Hospital Emergency Room Setting: A Complementary Surveillance Method for the Detection of Respiratory Viruses.

Authors:  Jessica Y Choi; Juliana Zemke; Sarah E Philo; Emily S Bailey; Myagmarsukh Yondon; Gregory C Gray
Journal:  Front Public Health       Date:  2018-06-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.